Damir Mulc

482 total citations · 1 hit paper
6 papers, 270 citations indexed

About

Damir Mulc is a scholar working on Cognitive Neuroscience, Social Psychology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Damir Mulc has authored 6 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 2 papers in Social Psychology and 1 paper in Pediatrics, Perinatology and Child Health. Recurrent topics in Damir Mulc's work include Functional Brain Connectivity Studies (2 papers), Neuroendocrine regulation and behavior (2 papers) and EEG and Brain-Computer Interfaces (2 papers). Damir Mulc is often cited by papers focused on Functional Brain Connectivity Studies (2 papers), Neuroendocrine regulation and behavior (2 papers) and EEG and Brain-Computer Interfaces (2 papers). Damir Mulc collaborates with scholars based in Croatia, United States and Spain. Damir Mulc's co-authors include Goran Šimić, Mario Vukšić, Francisco E. Olucha‐Bordonau, Patrick R. Hof, Ena Španić, Marina Šagud, Mladenka Tkalčić, Vana Vukić, Ivica Kostović and Jakša Vukojević and has published in prestigious journals such as The Journal of Comparative Neurology, Sensors and Biomolecules.

In The Last Decade

Damir Mulc

6 papers receiving 257 citations

Hit Papers

Understanding Emotions: Origins and Roles of the Amygdala 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Damir Mulc Croatia 3 102 49 48 43 36 6 270
Vana Vukić Croatia 5 102 1.0× 52 1.1× 47 1.0× 42 1.0× 34 0.9× 5 316
Tiffany R. Lago United States 9 100 1.0× 64 1.3× 53 1.1× 42 1.0× 35 1.0× 15 254
Liliana Capitão United Kingdom 11 152 1.5× 64 1.3× 58 1.2× 45 1.0× 79 2.2× 25 376
Leyla Loued‐Khenissi Switzerland 9 139 1.4× 41 0.8× 20 0.4× 32 0.7× 59 1.6× 12 307
Rothem Kovner United States 6 129 1.3× 36 0.7× 26 0.5× 67 1.6× 64 1.8× 9 241
Sunyoung Choi South Korea 11 208 2.0× 30 0.6× 47 1.0× 19 0.4× 45 1.3× 18 440
Alexandra C. Pike United Kingdom 7 223 2.2× 101 2.1× 86 1.8× 42 1.0× 31 0.9× 20 421
Vanessa Lux Germany 9 111 1.1× 131 2.7× 54 1.1× 72 1.7× 43 1.2× 17 314
Lachlan T. Strike Australia 12 230 2.3× 113 2.3× 40 0.8× 26 0.6× 35 1.0× 26 442
Inga Burmann Germany 5 144 1.4× 40 0.8× 35 0.7× 64 1.5× 23 0.6× 5 328

Countries citing papers authored by Damir Mulc

Since Specialization
Citations

This map shows the geographic impact of Damir Mulc's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Damir Mulc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Damir Mulc more than expected).

Fields of papers citing papers by Damir Mulc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Damir Mulc. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Damir Mulc. The network helps show where Damir Mulc may publish in the future.

Co-authorship network of co-authors of Damir Mulc

This figure shows the co-authorship network connecting the top 25 collaborators of Damir Mulc. A scholar is included among the top collaborators of Damir Mulc based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Damir Mulc. Damir Mulc is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
1.
Mulc, Damir, et al.. (2025). Opportunities and Challenges for Clinical Practice in Detecting Depression Using EEG and Machine Learning. Sensors. 25(2). 409–409. 1 indexed citations
2.
Mulc, Damir, et al.. (2024). Fetal development of the human amygdala. The Journal of Comparative Neurology. 532(1). e25580–e25580. 2 indexed citations
3.
Šimić, Goran, Željka Krsnik, M. Mathiasen, et al.. (2022). Prenatal development of the human entorhinal cortex. The Journal of Comparative Neurology. 530(15). 2711–2748. 7 indexed citations
4.
Šimić, Goran, Mladenka Tkalčić, Vana Vukić, et al.. (2021). Understanding Emotions: Origins and Roles of the Amygdala. Biomolecules. 11(6). 823–823. 255 indexed citations breakdown →
5.
Vukojević, Jakša, et al.. (2021). Borderline and Depression: A Thin EEG Line. Clinical EEG and Neuroscience. 54(3). 224–227. 2 indexed citations
6.
Vukojević, Jakša, et al.. (2020). Comparison of Machine Learning Methods in Classification of Affective Disorders. 177–181. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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